DSpace-CRIS

Now showing 1 - 2 of 2

Some of the metrics are blocked by your
consent settings
Identification and selection of stakeholder engagement strategies: case study of an Iranian oil and gas construction project
(Taylor & Francis, 2021-03-19)
Despite emphasizing the great importance of stakeholder management, there is a gap in applying a decision support system to adopt sustainable strategies for stakeholder engagement and conflict resolution especially in oil and gas projects. This paper presents a new framework for adopting the strategies in one of the largest oil and gas projects in Iran. In this proposed framework, firstly, the hybrid SWOT analysis and fuzzy Delphi method are used to identify and rank the sustainable stakeholder engagement strategies for managing conflicts. Then, a mathematical programming model was proposed to select the optimal strategies to maximize stakeholder engagement. The findings indicate that the results of the hybrid SWOT analysis and fuzzy Delphi method and the mathematical programming model are the same and the high ranked strategies obtained by the hybrid SWOT analysis and fuzzy Delphi method are selected in the proposed mathematical programming model as well. Also, each selected strategy can cover more than one conflict and improve stakeholder engagement.
Some of the metrics are blocked by your
consent settings
Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach
(Emerald Group Holdings Ltd., 2022-07-22)
This study aims to develop a model for project portfolio selection considering organizational goals such as budgets, sustainability cash flow and reinvestment strategy under an uncertain environment. Design/methodology/approach: A multi-objective mathematical programming model is proposed for project selection, which takes the social, environmental and financial aspects into account as the objectives of the project portfolio selection problem. The project evaluation and selection process in one of the large capitals in the Middle East with numerous urban construction projects was considered as a real case study, in which the subjects of environmental and social sustainability are of great importance. Then, the most significant criteria for project evaluation and selection based on sustainability were identified and ranked using the fuzzy best-worst method (BWM). Findings: The criterion of “defining clear and real objectives” was ranked first, “project investment return period” was ranked second, “minimum changes in the predicted range” was ranked third, and the other ten sustainability indicators were ranked as well. Next, the presented mathematical programming model was solved using the augmented e-constraint method. The sensitivity analysis indicated that increasing the amount of investments in projects would increase their net present value. Also, increased investment had no effect on sustainability, while decreased investment caused sustainability to not being optimal. Originality/value: This study focuses on the impact of the amount of investments on projects, and the associated costs of sustainable projects. Further to the authors' knowledge, there has been no relevant study taking uncertainty into account. Also, very few studies proposed a mathematical programming model for the project portfolio selection problem. Moreover, this research uses the brainstorming and Delphi method to identify the sustainability indicators influencing the organization and screens the evaluation indicators. Furthermore, the weights of the evaluation indicators are determined using the fuzzy BWM based on the consistency of opinions.
1

Producción científica

Browse

Filters

Settings

Sort By

Results per page

Search Results